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Room-Temperature Fabricated Multilevel Nonvolatile Lead-Free Cesium Halide Memristors for Reconfigurable In-Memory Computing

Tsung‐Kai Su, Wei‐Kai Cheng, Cheng‐Yueh Chen, Wei‐Chun Wang, Yung‐Tang Chuang, Guang‐Hsun Tan, Hao‐Cheng Lin, Hao-Cheng Lin, Cheng‐Hung Hou, Ching-Min Liu, Ya-Chu Chang, Jing‐Jong Shyue, Kai–Chiang Wu, Hao-Wu Lin, Hao-Wu Lin

2022ACS Nano63 citationsDOI

Abstract

Recently, conductive-bridging memristors based on metal halides, such as halide perovskites, have been demonstrated as promising components for brain-inspired hardware-based neuromorphic computing. However, realizing devices that simultaneously fulfill all of the key merits (low operating voltage, high dynamic range, multilevel nonvolatile storage capability, and good endurance) remains a great challenge. Herein, we describe lead-free cesium halide memristors incorporating a MoO X interfacial layer as a type of conductive-bridging memristor. With this design, we obtained highly uniform and reproducible memristors that exhibited all-around resistive switching characteristics: ultralow operating voltages (<0.18 V), low variations (<30 mV), long retention times (>10 6 s), high endurance (>10 5, full on/off cycles), record-high on/off ratios (>10 10, smaller devices having areas <5 × 10 –4 mm 2 ), fast switching (<200 ns), and multilevel programming abilities (>64 states). With these memristors, we successfully implemented stateful logic functions in a reconfigurable architecture and accomplished a high classification accuracy ( ca. 90%) in the simulated hand-written-digits classification task, suggesting their versatility in future in-memory computing applications. In addition, we exploited the room-temperature fabrication of the devices to construct a fully functional three-dimensional stack of memristors, which demonstrates their potential of high-density integration desired for data-intensive neuromorphic computing. High-performance, environmentally friendly cesium halide memristors provide opportunities toward next-generation electronics beyond von Neumann architectures.

Topics & Concepts

MemristorNeuromorphic engineeringMaterials scienceBridging (networking)HalideNon-volatile memoryNanotechnologyOptoelectronicsResistive random-access memoryComputer scienceVoltageElectrical engineeringEngineeringArtificial neural networkChemistryArtificial intelligenceComputer networkInorganic chemistryAdvanced Memory and Neural ComputingPerovskite Materials and ApplicationsPhotoreceptor and optogenetics research
Room-Temperature Fabricated Multilevel Nonvolatile Lead-Free Cesium Halide Memristors for Reconfigurable In-Memory Computing | Litcius